Roger Kameugne | Computer Science | Best Researcher Award

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Dr. Roger Kameugne | Computer Science | Best Researcher Award

Senior Lecturer and Researcher, University of Maroua, Cameroon

Roger Kameugne is a Senior Lecturer and Researcher at the Department of Mathematics and Computer Science, University of Maroua, Cameroon. With a robust background in Applied Mathematics, Constraint Programming, and Combinatorial Optimization, he has made significant contributions to the field through his extensive teaching and research activities. Roger has collaborated internationally, resulting in numerous publications in peer-reviewed journals. 🌍📚

Publication Profile

Strengths for the Award:

  1. Extensive Research Experience: Roger Kameugne has a solid background in Applied Mathematics, Constraint Programming, and Combinatorial Optimization. His research has significantly contributed to these fields, as evidenced by his publications in reputable journals and his involvement in notable research projects.
  2. High-Quality Publications: His publications in leading journals, such as Computer & Operations Research and Constraints, demonstrate his expertise and impact in his field. The frequency of citations and the quality of his research outputs are strong indicators of his research excellence.
  3. International Collaboration: Kameugne’s collaborative work with international research groups and his positions as a visiting scholar in prestigious institutions (e.g., UCLouvain, LAAS CNRS Toulouse) highlight his global recognition and influence.
  4. Active Participation in the Research Community: His role as a program committee member for several conferences (e.g., CPAIOR, CP) and his membership in prominent associations (e.g., ACP, INFORMS) showcase his active engagement and contribution to the academic community.
  5. Awards and Recognitions: His awards, such as the Abel Visiting Scholar Program and ARES Postdoc Scholarships, attest to his recognized achievements and research capabilities.

Areas for Improvement:

  1. Broader Citation Impact: While his publications are of high quality, increasing the number of citations could further enhance his recognition. Efforts to promote his research through collaborations or public engagement could help address this.
  2. Diverse Research Topics: Expanding his research focus to include interdisciplinary studies or emerging areas in mathematics and computer science could broaden his impact and appeal to a wider audience.
  3. Increased Visibility: Increasing his presence in high-impact conferences or contributing to high-profile research initiatives might improve his visibility and influence in the research community.

 

Education

Roger Kameugne holds a PhD in Applied Mathematics from the University of Yaoundé 1, Cameroon, where his thesis focused on propagation techniques for cumulative scheduling (2014). He also earned a DEA in Numerical Analysis (2004) and a Master’s without thesis in Numerical Analysis (2002) from the same institution. He completed his BSc in Mathematics in 2001 and obtained a Secondary and High School Teacher’s Diploma in 2004. 🎓📘

Experience

Roger has been a Senior Lecturer and Researcher at the University of Maroua since 2017. His previous roles include being a Head of Department at the Higher Institute of Transport and Logistics, and various visiting scholar positions in Canada, France, and Belgium. He has also served as a Lecturer at the Government Bilingual High School of Maroua. 🏫💼

Research Focus

Roger’s research interests are centered on Constraint Programming, Operations Research, Combinatorial Optimization, and Numerical Analysis. His current projects involve intelligent planning and vehicle routing optimization. He has contributed to significant research in cumulative resource constraints and scheduling algorithms. 🔍📊

Awards and Honors

Roger has been recognized for his scholarly contributions with several awards, including the ARES Postdoc Scholarships and the Abel Visiting Scholar Program. He is also honored with an INSA Visiting Scholar position. 🏆🌟

 Publications

Improved TimeTable Edge Finder Rule for Cumulative Constraint with Profile (2024) – Computer & Operations Research

Propagation techniques of resource constraint for cumulative scheduling (2015) – Constraints, vol. 20, No. 4, pp. 506-507.

A quadratic edge-finding filtering algorithm for cumulative resource constraints (2014) – Constraints, vol. 19, No. 3, pp. 243-269.

Energetic extended edge-finding filtering algorithm for cumulative resource constraints (2013) – American Journal of Operation Research, vol. 3, No. 6, pp. 589-600.

A cumulative not-first/not-last filtering algorithm in O(n^2 log n) (2013) – Indian Journal of Pure and Applied Mathematics, Vol. 44, No. 1, pp. 95-115.

Conclusion:

Roger Kameugne is highly deserving of the Research for Best Researcher Award due to his substantial contributions to Applied Mathematics and Constraint Programming, his strong publication record, and his active engagement in the international research community. His achievements are well-aligned with the criteria for this award, and addressing some areas for improvement could further enhance his candidacy.

 

 

Ali Raza | artificial intelligence | Best Researcher Award

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Mr. Ali Raza | artificial intelligence | Best Researcher Award

Lecturer, The University of Lahore, Pakistan

Ali Raza is a dedicated research scholar specializing in data science, known for his expertise in machine learning and deep learning applications. With a strong academic background and extensive professional experience in software development, he has contributed significantly to research in artificial intelligence and health informatics.

Profile

Google Scholar

📚 Education:

Ali completed his Bachelor of Science in Computer Science at KFUEIT after graduating from Iqra Degree College with a degree in Pre-Engineering. He further pursued his passion for computer science by earning a Master’s degree in Computer Science from KFUEIT, where his research focused on novel approaches in deep learning for image detection.

💼 Experience:

Ali’s professional journey includes roles as a Research Assistant at KFUEIT, where he published research articles on artificial intelligence. He has also worked as a Desktop App Developer at DexDevs Company and as a Full Stack Python Developer at BuiltinSoft Company, gaining expertise in business application development and machine learning frameworks.

🔬 Research Interests:

Ali’s research interests revolve around data science, particularly in machine learning model optimization, health informatics, and artificial intelligence applications in diverse domains such as pregnancy health analysis and network security.

🏆 Awards:

Ali has contributed significantly to research, evident from his publications and contributions as a peer reviewer for IEEE Access and PLOS ONE, highlighting his recognition in the academic community.

📄 Publications:

Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction, Plos one, 2022 (cited 46 times)

A novel deep learning approach for deepfake image detection, Applied Sciences, 2022 (cited 58 times)

Predicting employee attrition using machine learning approaches, Applied Sciences, 2022 (cited 44 times)

A novel methodology for human kinematics motion detection based on smartphones sensor data using artificial intelligence, Technologies, 2023 (cited 23 times)

Novel class probability features for optimizing network attack detection with machine learning, IEEE Access, 2023

Chang Meng-Wei | Edge computing | Machine Learning Research Award

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Dr. Chang Meng-Wei | Edge computing | Machine Learning Research Award

Department of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan

Meng-Wei Chang is a visionary Chief Engineer with a knack for cutting-edge technology solutions. With a PhD in Electrical Engineering from National Taiwan University of Science and Technology, he has honed his skills in software foundations, computer architecture, and artificial intelligence. Chang’s career spans across various roles in prestigious companies like ADATA Technology and Admiral Overseas Corporation, where he showcased his expertise in product development and brand design. His innovative contributions include the development of the first Android TV set-top box at Tatung and leading the development of an autonomous mobile robot in collaboration with National Taiwan University.

Profile

SCOPUS

 

📚 Education:

Meng-Wei Chang holds a Ph.D. in Electrical Engineering from the National Taiwan University of Science and Technology, where his research focused on software foundations, computer architecture, and artificial intelligence. His academic journey has equipped him with a deep understanding of algorithms, embedded systems, and heterogeneous computing.

🛠️ Experience

Chang’s professional journey includes roles such as Leader Engineer at ADATA Technology, where he collaborated on the development of an autonomous mobile robot, and Leader Engineer at Admiral Overseas Corporation, where he led brand design initiatives. His tenure at Tatung saw him pioneering the development of the first Android TV set-top box, showcasing his expertise in product innovation and RFQ/RFI assessments.

🔬 Research Interests:

Meng-Wei Chang’s research interests lie in the realms of software foundations, computer architecture, and artificial intelligence. His work focuses on adaptive computing, neural networks, and heterogeneous computing architectures.

🏆 Awards:

Meng-Wei Chang’s contributions have been recognized in academia and industry, earning him prestigious awards and accolades for his innovative solutions and impactful research.

Publication:

Journal of the Chinese Institute of Engineers (JCIE) – Real-time multi-fusion perceptron architecture for autonomous drones (Published in 2022)

Journal of the Chinese Institute of Engineers (JCIE) – Adaptive Neural Acceleration Unit based on Heterogeneous Multicore Hardware Architecture FPGA and Software (Published in 2021)